Supply Chain Data Scientist
Core
Develop advanced analytics and AI solutions for logistics cross-border optimization, tariff assessment, and customs data analysis to drive cost savings and actionable insights for Intel's global supply chain.
Role type
Supply Chain Data Scientist
Builds
Predictive models, tariff forecasts, spending reconciliation tools, and intelligent decision-support systems for logistics optimization.
Domain
Global Logistics / Supply Chain Management / Customs & Tariffs
Deliverable
production ML models | dashboards & analysis
Required skills
Predictive modeling, statistics, data mining, Python, SQL, Power BI, advanced analytics, data visualization, scripting (Perl), HANA, Hadoop
Preferred skills
Experience in transportation and/or warehousing, ability to work with ambiguous requirements, multi-project management
Technologies
Python, SQL, Access, Power BI, Excel, HANA, Hadoop, Perl
Responsibilities
Develop AI solutions for logistics cross-border optimization; analyze customs and HTS data for actionable insights; create tariff forecasts and monthly spending reconciliation; identify process improvements based on supply chain dependencies.
Seniority
Mid-level (1-2 years experience)
